How can we encourage data analysts and decision-makers to adopt AI?
Not all of the mistrust aimed at AI systems is unjustified, particularly when it comes to neural networks and other such systems that rely on large training data sets. There are a number of high profile cases, facial recognition being one that has often (understandably) received a lot of flak, where improperly configured training data has resulted in skewed and questionable results. 

If you want to foster more trust in the systems, it will require better tools for analyzing how they are approaching problems and reaching decisions, as well as determining if there are holes in the training data. It will require a community working in the field that gives a lot more thought and care to how they approach their training data and what unintended biases they may be introducing by forgetting something than has often been displayed presently. 

Of course, some people are just distrustful of new technology, but I think it's more interesting to address the more legitimate concerns.